Academic research and cutting-edge papers that form the foundation of the Awareness framework
Topics: Virtual context management, heartbeat mechanism, OS-inspired memory paging
Usage in Awareness: Memory architecture foundation
Topics: Cognitive architecture framework with 4 memory types (working, episodic, semantic, procedural)
Usage in Awareness: Core memory tier system design
Topics: Importance scoring algorithm for memory retrieval
Usage in Awareness: Foundational algorithm for scoring recency, importance, and relevance
Topics: Two-phase memory pipeline, conflict resolution (ADD/UPDATE/DELETE/NOOP), graph-enhanced variant
Usage in Awareness: Memory extraction and consolidation
Topics: Three-tier consolidation (dialogue distillation, topic-aware consolidation, sleep-time consolidation), 117x token reduction
Usage in Awareness: Memory efficiency and consolidation
Topics: Reflection tokens ([Retrieve], [IsRel], [IsSup], [IsUse]), adaptive retrieval
Usage in Awareness: Reflection-based retrieval control
Topics: Corrective retrieval workflow, decompose-then-recompose algorithm
Usage in Awareness: Retrieval evaluation and correction flow
Topics: Community-based knowledge organization, Leiden algorithm, three query modes (Local, Global, DRIFT)
Usage in Awareness: Knowledge graph construction and querying
Topics: Binary token classification for fast context compression (3-6x faster)
Usage in Awareness: Context compression technique
Topics: Contrastive perplexity scoring for 'lost in middle' problem
Usage in Awareness: Position-aware context compression
Topics: Extractive/abstractive compression for RAG, selective augmentation
Usage in Awareness: RAG-specific compression methods
Topics: Attention sinks, KV-cache optimization for long contexts
Usage in Awareness: Context window extension
Topics: Monte Carlo Tree Search with LLM-based expansion, UCB1 selection, reflection evaluation
Performance: 92.7% on HumanEval
Usage in Awareness: Planning algorithm implementation
Topics: Exploration with backtracking, BFS/DFS search strategies
Usage in Awareness: Alternative planning approach
Topics: Problem decomposition, reduces calculation errors
Usage in Awareness: Planning methodology
Topics: Fork/Join concurrency, critical path optimization, thinking concurrency reward
Usage in Awareness: Asynchronous agent orchestration foundation
Topics: RL-trained orchestration using REINFORCE, dynamic agent selection
Usage in Awareness: Learned orchestration policy
Topics: MCTS workflow optimization, automated workflow discovery
Usage in Awareness: Workflow discovery and optimization
Topics: Communication efficiency training, reward function (accuracy + efficiency + readability)
Performance: 2.8x performance with <10% tokens
Usage in Awareness: Multi-agent communication efficiency
Topics: Meta agent search for workflow discovery
Usage in Awareness: Agent selection strategies
Topics: Dynamic agent selection and pruning, importance scoring with backward propagation
Usage in Awareness: Team selection methodology
Topics: Multi-agent reinforcement learning for LLM collaboration
Usage in Awareness: Multi-agent training approach
Topics: Self-supervised tool learning, when/how to call tools
Usage in Awareness: Tool usage training
Topics: Production coding agent architecture
Usage in Awareness: Production-ready agent patterns
Topics: Progressive RoPE rescaling, 2M+ token context
Usage in Awareness: Position interpolation for context extension
Topics: Non-uniform interpolation across RoPE dimensions
Usage in Awareness: Alternative context extension approach
Topics: Sub-4-bit KV cache quantization, 10M context on A100-80GB
Usage in Awareness: KV-cache optimization
Topics: Graph-based vector indexing, O(log n) search complexity
Usage in Awareness: Vector search algorithm foundation